Correct Answer - Option 4 : 16
Concept:
- The roots of characteristic equation |A - λI| = 0 are known as Eigen values of matrix A.
- To each Eigen value of λ if there exists a non-zero vector X such that AX = λX then X is called Eigen vector of matrix A corresponding to the Eigen value λ.
Calculation:
Given:
\(\left[ A \right] = \left[ {\begin{array}{*{20}{c}} 4&8&4\\ 8&{16}&{ - 4}\\ 4&{ - 4}&{15} \end{array}} \right],\;\left\{ x \right\} = \left\{ {\begin{array}{*{20}{c}} 2\\ 1\\ 4 \end{array}} \right\}\;and\;\left\{ R \right\} = \left\{ {\begin{array}{*{20}{c}} {32}\\ {16}\\ {64} \end{array}} \right\}\)
\(\left[ A \right]\left\{ x \right\} = \left\{ R \right\} = \left[ {\begin{array}{*{20}{c}} 4&8&4\\ 8&{16}&{ - 4}\\ 4&{ - 4}&{15} \end{array}} \right]\left\{ {\begin{array}{*{20}{c}} 2\\ 1\\ 4 \end{array}} \right\} = \left\{ {\begin{array}{*{20}{c}} {32}\\ {16}\\ {64} \end{array}} \right\} = 16\left\{ {\begin{array}{*{20}{c}} 2\\ 1\\ 4 \end{array}} \right\}\)
This is in the form of AX = λX, where λ is Eigenvalue.
∴ One of the Eigenvalue of matrix [A] is 16